{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib图鉴——基础散点图\n",
    "\n",
    "## 公众号：可视化图鉴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.3.2\n",
      "1.2.0\n",
      "1.19.2\n"
     ]
    }
   ],
   "source": [
    "import matplotlib\n",
    "print(matplotlib.__version__) #查看Matplotlib版本\n",
    "import pandas as pd\n",
    "print(pd.__version__) #查看pandas版本\n",
    "import numpy as np\n",
    "print(np.__version__) #查看numpy版本\n",
    "import matplotlib.pyplot as plt \n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  #设置中文"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注意，代码在以下环境全部通过测试:\n",
    "- Python 3.7.1\n",
    "- Matplotlib == 3.3.2\n",
    "- pandas == 1.2.0\n",
    "- numpy == 1.19.2\n",
    "\n",
    "因版本不同，可能会有部分语法差异，如有报错，请先检查拼写及版本是否一致！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基础散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = list(np.arange(0,5,0.2))\n",
    "y = np.random.rand(25)\n",
    "plt.figure(figsize=(10,7))#设置画布的尺寸\n",
    "\n",
    "plt.scatter(x,y)\n",
    "\n",
    "plt.title(\"基础散点图\",fontsize =20) # 图形标题\n",
    "plt.xlabel(\"我是x轴\",fontsize = 14) # x轴名称\n",
    "plt.ylabel(\"我是y轴\",fontsize = 14) # y轴名称\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上图为最基本的Matplotlib散点图绘制，有关`plt.scatter`其他参数说明如下：\n",
    "\n",
    ">matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, verts=<deprecated parameter>, edgecolors=None, *, plotnonfinite=False, data=None, **kwargs)  \n",
    "    \n",
    "- x: array 数组数据\n",
    "- y: array 数组数据\n",
    "- s: 散点的大小\n",
    "- c: 调整颜色\n",
    "- marker: 形状\n",
    "- alpha: 0~1 透明度\n",
    "- linewidths: 标记边缘的线宽\n",
    "- edgecolors: 散点边的颜色\n",
    "- cmap: 颜色是浮点数的时候设置\n",
    "- norm: 0-1范围内缩放颜色的范围\n",
    "- vmin: 颜色的最小取值\n",
    "- vmax: 颜色的最大取值\n",
    "\n",
    "下面我们将稍微添加/修改部分参数，制作其他样式的**基本散点图**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基础散点图—修改颜色、边框、大小"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = list(np.arange(0,5,0.2))\n",
    "y = np.random.rand(25)\n",
    "plt.figure(figsize = (10,7))\n",
    "\n",
    "plt.scatter(x,y,marker ='o',color = 'w',edgecolor = 'deeppink',s =150)\n",
    "\n",
    "plt.title(\"基础散点图——修改颜色、边框、大小\",fontsize =20) # 图形标题\n",
    "plt.xlabel(\"我是x轴\",fontsize = 14) # x轴名称\n",
    "plt.ylabel(\"我是y轴\",fontsize = 14) # y轴名称\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基础散点图—修改形状、透明度、颜色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = list(np.arange(0,5,0.2))\n",
    "y = np.random.rand(25)\n",
    "\n",
    "plt.figure(figsize = (10,7))\n",
    "\n",
    "plt.scatter(x,y,s =200,marker ='^',alpha = 0.7,c = np.random.rand(25))\n",
    "\n",
    "plt.title(\"基础散点图——修改形状、透明度\",fontsize =20) # 图形标题\n",
    "plt.xlabel(\"我是x轴\",fontsize = 14) # x轴名称\n",
    "plt.ylabel(\"我是y轴\",fontsize = 14) # y轴名称\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
